Restaurant Brands International (QSR) Operating Leases (2013 - 2026)
Restaurant Brands International (QSR) posted Operating Leases of $1.91 billion for Q2 2026, up 4.0% from $1.84 billion a year earlier but down 0.4% from the prior quarter.
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Analysis
Restaurant Brands International (QSR) Operating Leases (2013 - 2026) Analysis & Trends
At the end of FY2025, Restaurant Brands International's Operating Leases came in at $1.9 billion, up 7.3% from FY2024.
- Annual Operating Leases has increased for three consecutive years, with a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- In prior years, Restaurant Brands International's Operating Leases was $1.77 billion in FY2024 (+67.1%), $1.06 billion in FY2023 (+3.1%), $1.03 billion in FY2022 (-4.0%) and $1.07 billion in FY2021 (-1.1%).
- Quarterly Operating Leases has run from a low of $1 billion in Q3 2022 to a high of $1.92 billion in Q1 2026 over five years.
- On a year-over-year basis, Operating Leases has increased in each of the last 11 quarters, with growth averaging 29.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q3 2024, with growth of 77.0%; the weakest was Q1 2023, with a decline of 5.1%.
- According to Business Quant data, Operating Leases for the three prior quarters was $1.92 billion (Q1 2026), $1.9 billion (Q4 2025) and $1.84 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.91 Bn |
| Mar 31, 2026 | 1.92 Bn |
| Dec 31, 2025 | 1.90 Bn |
| Sep 30, 2025 | 1.84 Bn |
| Jun 30, 2025 | 1.84 Bn |
| Mar 31, 2025 | 1.78 Bn |
| Dec 31, 2024 | 1.77 Bn |
| Sep 30, 2024 | 1.78 Bn |
| Jun 30, 2024 | 1.77 Bn |
| Mar 31, 2024 | 1.08 Bn |
| Dec 31, 2023 | 1.06 Bn |
| Sep 30, 2023 | 1.00 Bn |
| Jun 30, 2023 | 1.04 Bn |
| Mar 31, 2023 | 1.02 Bn |
| Dec 31, 2022 | 1.03 Bn |
| Sep 30, 2022 | 1.00 Bn |
| Jun 30, 2022 | 1.05 Bn |
| Mar 31, 2022 | 1.07 Bn |
| Dec 31, 2021 | 1.07 Bn |
| Sep 30, 2021 | 1.06 Bn |
API Access
Restaurant Brands International Operating Leases API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-leases&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "QSR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();